Senior AI/ML Engineer

iBusiness Funding

1d•$170,000 - $210,000

About The Position

About iBusiness iBusiness is a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As a pioneer in secure AI, automation, and AI software development, iBusiness builds infrastructure and platforms that empower financial institutions to modernize faster—without sacrificing compliance or security. Its technology enables seamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale. Join us and be part of a team that’s transforming the finance industry and empowering businesses to thrive! Position Description We are seeking an experienced Senior LLM Engineer to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate the process and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI-driven solutions.

Requirements

5+ years of experience in machine learning, NLP, or a related domain, with a focus on large language models.
Proven experience working with foundational models in production environments.
Strong programming skills in Python with experience in relevant ML libraries.
Hands-on experience in deploying machine learning models at scale.
Excellent communication and collaboration skills, with the ability to work cross-functionally.
Problem-solving mindset, with the flexibility to adapt models and workflows to evolving product needs.

Nice To Haves

Master’s or PhD in Computer Science, AI, Machine Learning, Physics or a related field.
Experience with MLOps and AWS
Familiarity with reinforcement learning and other advanced NL techniques.
Experience building risk modules

Responsibilities

Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features.
Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.
Collaborate with product managers, data scientists, and software engineers to integrate LLM-based automation into scalable solutions.
Create and architect Interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses.
Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.
Work on the customization and fine-tuning of models to optimize performance for specific use cases.
Develop, test, and deploy LLM-based services in production environments.
Provide technical leadership and mentorship to other engineers on the team.
Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.